docs: def get_second_pass_opts_ebu(self):
          """
          Return second pass loudnorm filter options string for ffmpeg
          """
  
          if not self.loudness_statistics['ebu']:
              raise FFmpegNormalizeError(
                  "First pass not run, you must call parse_loudnorm_stats first"
              )
  
          input_i = float(self.loudness_statistics['ebu']["input_i"])
          if input_i > 0:
              logger.warn("Input file had measured input loudness greater than zero ({}), capping at 0".format("input_i"))
              self.loudness_statistics['ebu']['input_i'] = 0
  
          opts = {
              'i': self.media_file.ffmpeg_normalize.target_level,
              'lra': self.media_file.ffmpeg_normalize.loudness_range_target,
              'tp': self.media_file.ffmpeg_normalize.true_peak,
              'offset': self.media_file.ffmpeg_normalize.offset,
              'measured_i': float(self.loudness_statistics['ebu']['input_i']),
              'measured_lra': float(self.loudness_statistics['ebu']['input_lra']),
              'measured_tp': float(self.loudness_statistics['ebu']['input_tp']),
              'measured_thresh': float(self.loudness_statistics['ebu']['input_thresh']),
              'linear': 'true',
              'print_format': 'json'
          }
  
          if self.media_file.ffmpeg_normalize.dual_mono:
              opts['dual_mono'] = 'true'
  
          return 'loudnorm=' + dict_to_filter_opts(opts)